جستجوی استاد راهنمای دانشگاهی

Stuart Cormackمشاهده پروفایل

استاد

• Sports Performance
• Athlete Training Load Monitoring
• Fatigue Management
• +۳ مورد دیگر

Professor Stuart Cormack is a Deputy Director and Performance lead at the SPRINT Research Centre at Australian Catholic University (ACU), with over 25 years of expertise in high-performance sport as both a practitioner and researcher. His career spans roles at the Australian Institute of Sport and multiple Australian Football League (AFL) clubs. He holds a PhD from Edith Cowan University and has published extensively on athlete performance, training load monitoring, fatigue, and sports science applications. His research interests focus on optimizing athlete performance through advanced monitoring techniques, fatigue management, and sports technology integration. Key areas include wearable sensor validation, mental and physical fatigue assessment, and injury prevention in elite sports. He consults for national and international sports programs and supervises PhD candidates in topics such as triaxial accelerometry in stride analysis and mental fatigue impact on strength performance. Awarded the Australian Strength & Conditioning Association Life Membership and ACU's 2016 Postgraduate Teaching Excellence Award, Professor Cormack contributes to peer-reviewed journals including Journal of Strength & Conditioning Research and Science and Medicine in Football . His work bridges applied science and practical sport performance, emphasizing evidence-based approaches to training and recovery.

Jaeung Simمشاهده پروفایل

استادیار

• Information Systems
• Digital Marketing
• Online Platforms
• +۴ مورد دیگر

Jaeung Sim is an Assistant Professor at the University of Connecticut's School of Business, Department of Operations and Information Management. His research focuses on understanding consumer interactions with information technology, digital platforms, and energy systems, with emphasis on sustainable operations and policy implications. He holds a Ph.D. in Management Engineering from KAIST and a B.S. in Industrial & Management Engineering (Summa Cum Laude) from POSTECH. Prior to academia, he served in the Republic of Korea Army as a sergeant and published data analytics work on music streaming trends. Research interests include: Online platform governance and consumer behavior Digital marketing strategies Energy economics and policy analysis Econometric field experiments Data-driven decision-making in operations Recent work explores topics like AI ethics in knowledge sharing, autocomplete impact on search behavior, smart metering effectiveness, and racial disparities in energy burdens. His music analytics research examines pandemic effects on streaming consumption and live-streaming economies. Teaching includes courses on data mining/business intelligence (OPIM 5671) and Python-based data science (OPIM 5512). Active in UConn's Stamford campus, he contributes to initiatives like decentralized AI education programs.

Suzanne Littleمشاهده پروفایل

استاد

• Computer Vision
• Media Analytics
• Machine Learning
• +۲ مورد دیگر

Professor Suzanne Little is a Full Professor at Dublin City University's School of Computing and SFI Principal Investigator at the Insight Centre for Data Analytics. She holds a PhD from the University of Queensland and leads research in media analytics, computer vision, and machine learning. Her work develops methods for analyzing multimedia content including video analysis for surveillance, sports analytics, transportation, and medical imaging. Research focuses on: Content-based multimedia indexing and retrieval Computer vision for object/event detection in video Bias analysis in deep learning models Edge computing for video analytics Optimization of neural network architectures Her recent publications address bias mitigation in AI systems, efficient object detection methods, and novel applications of event cameras. Professor Little co-directs the SFI Centre for Research Training in Artificial Intelligence and contributes to the iForm Advanced Manufacturing Centre. She has led multiple EU projects in multimedia and big data, including the Smart Stadium IoT initiative with Croke Park. Her work has been featured in media outlets including RTE, Silicon Republic, and The Irish Times.

Kelly Hewettمشاهده پروفایل

دانشیار

• Marketing Strategy
• Brand Management
• Marketing Research
• +۳ مورد دیگر

Kelly Hewett is an Associate Professor of Marketing at the Haslam College of Business, University of Tennessee. She holds a Ph.D. in Marketing and International Business from the University of South Carolina. Prior to academia, she served as a Senior Vice President at Bank of America, leading corporate marketing strategies. Her expertise spans Brand Management, Marketing Research, and Product Design & Development. Education: 1998 Ph.D., Marketing and International Business, University of South Carolina 1990 M.B.A., University of South Florida 1986 B.S. & B.A., College of Charleston Research Interests: Focuses on marketing strategy, global market expansion, and leveraging emerging technologies like AI and metaverse for consumer insights. Her work bridges academic rigor with practical applications in digital ecosystems and cross-cultural marketing. Recent research explores video game data utilization and marketing in the metaverse. Articles Trends: Her publications emphasize AI-driven consumer research, digital marketing ecosystems, and strategic frameworks for global markets. Key themes include predictive analytics, metaverse retailing, and institutional reforms in emerging markets. Awards: Recognized for research and teaching excellence, though specific award names are not disclosed. Teaching & Advising: Teaches Marketing Insights in the MBA program and courses on strategic planning. Advises students across full-time, executive, and professional MBA tracks.

Stephen Stifanoمشاهده پروفایل

دانشیار

• Instructional Communication
• Communication of Emotion
• Nonverbal Communication
• +۳ مورد دیگر

Stephen Stifano serves as Associate Professor in-Residence and Director of Undergraduate Studies in the Department of Communication Education within the University of Connecticut's College of Liberal Arts and Sciences (CLAS). He holds a Ph.D. from UConn (2011) and coordinates the department's large-lecture introductory communication course while providing training for teaching assistants. His research focuses on Instructional Communication , particularly how Immediacy Behaviors shape classroom experiences, alongside the Communication of Emotion in narrative media and health PSAs. Additional interests include Data Visualization for diverse audiences and the revival of digital media production pedagogy. His work bridges Nonverbal Communication theory with practical multimedia design applications. Stifano's publications demonstrate strong engagement with both theoretical frameworks and practical applications, with recent work emphasizing digital learning environments, audience-content creator interaction metrics, and cross-cultural emotional responses to media. His research consistently connects communication theory to educational innovation. Teaching Innovation Award (2019) University Teaching Fellow Award (2022) Five Top Papers Awards from National Communication Association Basic-Course Program of Distinction recognition for COMM 1000 (2016) As Director of Undergraduate Studies, Stifano led a complete curriculum overhaul and developed the FastTrack BA/MA Program. He chairs the CLAS Committee on Curricula and Courses, guiding UConn's largest college through Common Curriculum transition. His teaching portfolio spans COMM 1000 through advanced digital production courses, reflecting his commitment to both foundational communication principles and emerging media technologies. Stifano actively integrates multimedia production into the department's offerings, having revived digital media courses and developed programs for multimedia storytelling and video production. His colloquium talks on 'Multimedia Stimulus Design' and 'Speak as a Storyteller' demonstrate his focus on practical communication skill development across academic and professional contexts.

Balakrishnan Prabhakaranمشاهده پروفایل

استاد

• Multimedia Systems
• Video and Healthcare Data Analytics
• 3D Video Streaming
• +۵ مورد دیگر

Dr. Balakrishnan Prabhakaran is a Professor of Computer Science at the Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas. He specializes in multimedia systems, focusing on areas like video and healthcare data analytics, 3D video streaming, wireless network QoS, and collaborative virtual environments. His work integrates technical innovation with healthcare applications, including telemedicine and rehabilitation systems. Education: PhD (Computer Science & Engineering) from Indian Institute of Technology, Chennai (1995); MSc (CSE) from IIT Chennai (1990); BEng (Electronics & Communication) from Madurai-Kamaraj University (1986). Research Interests: Current projects include intelligent medical imaging platforms (e.g., IntelliCardiac), mixed reality systems for pain management (MR.MAPP), and robotic grasp synthesis. Past work involved multimedia databases, web-based presentation servers, and QoS in ad-hoc networks. Notable Achievements: Recipient of NSF CAREER Award (2003), 2007 School of Engineering Service Award, and recognition as an ACM Distinguished Scientist. He chairs the PhD Studies program at UT Dallas and has led numerous academic initiatives including graduate admissions committees. Teaching: Courses span multimedia systems, advanced operating systems, and animation programming. He has taught at institutions including National University of Singapore and University of Maryland. Labs/Teams: Active in developing immersive healthcare technologies through projects like H-TIME (haptic tele-examination) and VirTePeX (virtual tele-physical exam systems). Collaborates on cloud-based body sensor networks (BSNCloud) and mixed reality frameworks (ScanToVR).

Dheryta Jaisinghaniمشاهده پروفایل

استادیار

• Wireless Networks
• Mobile Computing
• IoT Systems
• +۳ مورد دیگر

Dheryta Jaisinghani is an Assistant Professor in the Department of Computer Science at the University of Northern Iowa (UNI), affiliated with the College of Humanities, Arts, and Sciences. They hold a Ph.D. in Computer Science from Indraprastha Institute of Information Technology. Their research focuses on wireless networks, mobile computing, IoT systems, and machine learning applications in health monitoring and smart environments. Research interests include wearable sensor systems for activity recognition (e.g., tooth brushing detection, sleep posture analysis), low-cost IoT solutions for healthcare, and network optimization in dense WiFi environments. Their work integrates machine learning with sensor data to address challenges in social behavior analysis, indoor localization, and industrial robotics. Recent publications (2021–2024) explore topics like flying IoT networks, socially distanced classroom systems, and neural networks for social interaction tracking. Their work emphasizes practical, unobtrusive technologies with applications in healthcare, education, and industrial automation. No scientific awards or grants are explicitly mentioned in the provided text. No advisees are listed, though their teaching includes wireless networks and mobile computing. No lab affiliations are noted.

Kimberley Frederickمشاهده پروفایل

استاد

• Chemistry Education
• Low-Cost Diagnostic Devices
• Environmental Testing
• +۲ مورد دیگر

Kimberley Frederick is a Professor of Chemistry at Skidmore College with 24 years of teaching experience. Her work focuses on innovative pedagogy, including developing low-cost diagnostic tools for environmental and health applications. She has adapted research-based labs for remote learning, impacting students nationwide. Frederick's research interests include Chemistry Education, Low-Cost Diagnostic Devices, Environmental Testing, Health Care Technology, and Remote Learning Solutions. Her work emphasizes student autonomy through non-traditional assessments like video tutorials and applied problem-solving. Her recent publications explore laboratory pedagogy reform, interdisciplinary collaborations (e.g., with art museums), and microfluidic technology for accessible STEM education. Research shows consistent themes in inquiry-based learning and practical scientific skill development. Scientific Awards: No awards listed in provided text. Frederick mentors students through research projects on diagnostic devices and advocates for equitable STEM access. She leads projects integrating community health applications with academic research.

Gene Moo Leeمشاهده پروفایل

دانشیار

• Artificial Intelligence (AI) in Business
• Information Systems
• Cybersecurity
• +۶ مورد دیگر

Gene Moo Lee is an Associate Professor in the Accounting and Information Systems Division at the UBC Sauder School of Business. He holds a PhD in Computer Science from UT Austin. His research focuses on AI in business contexts, cybersecurity, and data analytics, with notable contributions to understanding AI strategies, IT platforms, and workforce transformations. His work has been published in top journals like MIS Quarterly , Information Systems Research , and Journal of Management Information Systems . Education: BS (Korea University), MA (UT Austin), PhD (UT Austin). He has held roles at Samsung, Intel, Goldman Sachs, and others, and holds over 10 patents in mobile technologies. His Erdős number is 3. Research interests include AI's impact on industries, cybersecurity defense mechanisms, and the integration of robotics and service operations. His recent studies explore AI-driven innovation, mobile device management in remote work, and the effects of service robots on labor dynamics. He has supervised over a dozen PhD and Master’s students, including Jaecheol Park (2025 dissertation) and Myunghwan Lee (2023 proposal). Awards include AIS Distinguished Member (2021) and Reviewer of the Year (MISQ/ISR 2021). He serves as an AE for ISR and SE for Decision Support Systems . Key projects include the Data Analytics & AI Research Group, cyber risk assessment frameworks, and studies on generative AI in journalism and video content creation. His work bridges theory and practice, addressing real-world challenges in digital transformation and AI ethics.

• Ecology
• Zoology
• Evolutionary Biology
• +۷ مورد دیگر

Dr. Julia Schroeder is a Senior Lecturer in the Department of Life Sciences (Silwood Park) at Imperial College London, affiliated with the Faculty of Natural Sciences and centers including the Georgina Mace Centre for the Living Planet and the Grantham Institute. Her research focuses on behavioral ecology, evolutionary biology, and seabird ecology, with particular interests in traits influencing individual variation in behavior, aging mechanisms, and the genetic basis of social networks. She leads the Schroeder Lab, emphasizing data-driven approaches to study avian behavior and conservation challenges. Recent work includes developing automated methods for behavioral analysis (e.g., YOLO-Behaviour framework) and investigating telomere dynamics in wild populations. Her affiliations span interdisciplinary initiatives at Silwood Park Campus and the Ecosystems and Environment group. She actively invites PhD applicants interested in seabird ecology, citizen science, or genomics of life-history traits. Research methodologies include meta-analyses, machine learning, and long-term field studies, often addressing topics like social behavior, fitness correlates, and human-wildlife interactions. Her work bridges theoretical and applied ecology, with contributions to understanding biodiversity conservation and evolutionary processes. Publications highlight trends in behavioral flexibility, telomere length heritability, and social network robustness. She collaborates widely, integrating computational tools into ecological research while addressing challenges in wildlife management and invasive species perception.

Jill Adlerمشاهده پروفایل

استاد

• Mathematics Education
• Teacher Professional Development
• Multilingual Education
• +۶ مورد دیگر

Jill Adler is a Professor of Mathematics Education at the University of the Witwatersrand in South Africa and an Honorary Research Fellow at the Department of Education, Oxford University . Her career spans large-scale teacher development projects, including the Wits Maths Connect Secondary (WMCS) Project and the Nuffield-funded “Developing Language-Responsive Mathematics Classrooms” . She served as President of the International Commission on Mathematical Instruction (ICMI) from 2017-2020 and held the SARChI Mathematics Education Chair (2010-2019). Education: PhD in Mathematics Education. Awards: 2015 ICMI Hans Freudenthal Medal 2012 ASSAf Gold Medal for Science in the Service of Society 2015 Svend Pedersen Lecture Award 2003 Vice Chancellor’s Research Award 2003 Vice Chancellor’s Academic Citizenship Team Award Research Interests focus on mathematics teacher development in multilingual and resource-constrained settings. She has pioneered frameworks like Mathematical Discourse in Instruction (MDI) and Mediating Primary Mathematics (MPM) to analyze classroom practices, emphasizing coherence in explanations, representation transformations, and language-responsive pedagogy. Her work bridges curriculum reform , pedagogical theory , and teacher identity formation . Publications highlight trends in language-responsive teaching , variation theory , and teacher professional development . Key themes include exemplification strategies , mathematical discourse , and policy implementation challenges in diverse educational systems.

Charith Abhayaratneمشاهده پروفایل

مدرس ارشد

• Signal Processing
• Machine Learning
• Multimedia Security
• +۷ مورد دیگر

Dr. Charith Abhayaratne is a Senior Lecturer and EEE Foundation Year Tutor at the School of Electrical and Electronic Engineering, University of Sheffield. He leads the Communications Research Group and serves as the accreditation team lead for the school. With qualifications including a PhD from the University of Bath and a B.E. from the University of Adelaide, his research focuses on signal processing, machine learning, multimedia security, and video coding. His work explores blockchain for content protection, visual salience in robotics, human activity recognition, and advanced video coding techniques (HDR, UHD, 360° video). His research has been funded by Innovate UK, EPSRC, and industry partners. Education: B.E. (Electrical and Electronic Engineering), The University of Adelaide, Australia (1998) PhD (Electronic and Electrical Engineering), University of Bath, UK (2002) PGCertHE (Higher Education), University of Sheffield (2008) Fellow of the Higher Education Academy (FHEA), Member of the Institution of Engineering and Technology (MIET), Member of IEEE (MIEEE) Research Interests: His work spans multimedia security (data hiding, blockchain), computer vision (visual salience, object recognition), and video coding (HDR/UHD). Current projects include robotic vision applications, assisted living through activity recognition, and international standards development (JPEG/MPEG). He has contributed to scalable video standards and serves on technical committees for IEEE, EURASIP, and APSIPA. Awards & Service: Recipient of the Alain Bensoussan Fellowship (ERCIM, 2002) Associate Editor for IEEE Transactions on Image Processing, IEEE Access, and Elsevier JISA Member of EPSRC Peer Review College and British Standards Institution (BSI) Grants & Labs: Active grants from Innovate UK and EPSRC support projects in multimedia security and video coding. His lab leads interdisciplinary work in AI-driven visual analytics and secure media distribution frameworks.

Jeffrey A. Greeneمشاهده پروفایل

استاد

• Science of Learning
• Self-Regulated Learning
• Epistemic Cognition
• +۳ مورد دیگر

Jeffrey A. Greene is the Interim Associate Dean for Research and Faculty Development and McMichael Professor at the UNC School of Education. His academic roles include leadership in research and faculty development. He holds a Ph.D. in Educational Psychology from the University of Maryland (2007), along with multiple advanced degrees including an M.A. in Measurement, Statistics and Evaluation, an M.Ed. in Education, Counseling and Personnel Services, and a B.A. in Psychology from Carleton College. Dr. Greene’s research focuses on the Science of Learning, Self-Regulated Learning, Epistemic Cognition, and Digital Literacy. He has secured over $8 million in grants from organizations like the National Science Foundation and the Spencer Foundation. His work emphasizes leveraging technology to enhance learning outcomes and critical thinking skills. His research has led to over 100 peer-reviewed publications, with a focus on how students engage with technology, digital literacy, and the cognitive processes involved in learning. Notable contributions include studies on instructional video efficacy, self-regulated learning strategies, and the impact of technology on academic performance. Dr. Greene is a Fellow of Division 15 of the American Psychological Association and Division C of the American Educational Research Association. He leads the CLICK Research Group, exploring collaborative learning and technology integration. His work spans educational technology, STEM education, and the design of effective learning tools.

• Augmented Reality
• Virtual Reality
• Human-Computer Interaction
• +۳ مورد دیگر

Wolfgang Hürst is an Associate Professor at Utrecht University's Department of Information and Computing Sciences, where he also serves as program leader for the MSc in Game & Media Technology. Previously, he was Education Director of the department from 2020-2024. His research focuses on immersive technologies including augmented/virtual reality, human-computer interaction, and multimedia systems, with applications in gaming, healthcare, and neuroscience. Education includes: PhD in Computer Science from University of Freiburg, Germany Master's in Computer Science from University of Karlsruhe/KIT Visiting researcher at Carnegie Mellon University (1996-1997) Postdoctoral work at University of Freiburg (2005-2007) Research interests span virtual/augmented reality systems, mobile interaction design, multimedia methods, and gaming technology. His work explores how immersive technologies can enhance human perception, information visualization, and accessibility in domains ranging from neuroscience research to cultural heritage preservation. Publications demonstrate strong focus on AR/VR interface innovation, particularly in 360° video interaction, lifelog visualization, and neuroscience applications. Recent work emphasizes ethical AI integration in extended reality and inclusive design for diverse user populations. Research consistently combines technical development with rigorous human-centered evaluation methodologies. Scientific awards: No major awards reported in provided materials. Research involves collaborations through the Game Research group and Applied Data Science initiatives. Current projects include immersive literature exploration tools for neuroscientists and accessible VR museum experiences. Extramural funding sources not detailed in available documentation.

Arumugam Nallanathanمشاهده پروفایل

استاد

• Wireless Communications
• Networking
• 6G Technology
• +۶ مورد دیگر

Arumugam Nallanathan is a Professor of Wireless Communications at Queen Mary University of London, affiliated with the School of Electronic Engineering and Computer Science. He leads the Communication Systems Research (CSR) Group and is a core member of the Centre for Networks, Communications and Systems. His research focuses on 6G technologies, AI-driven wireless systems, reconfigurable intelligent surfaces (RIS), UAV-enabled communications, ultra-reliable low-latency communications (URLLC), and IoT applications. He teaches the advanced 5G Mobile and Beyond module, integrating theoretical frameworks with practical implementations. Nallanathan's work bridges cutting-edge research with real-world challenges, emphasizing secure and energy-efficient communication systems. His recent publications explore topics such as IRS-based DOA estimation, covert communication techniques, and federated learning in edge networks. He actively contributes to the design of integrated sensing and communication systems, with applications in smart cities and beyond. His research group collaborates on grants addressing future network architectures and AI-enabled solutions. Research interests span: 6G systems, AI for communications, RIS optimization, UAV networks, URLLC protocols, and IoT security. His teaching emphasizes 5G fundamentals and emerging technologies. Notable contributions include advancements in STAR-RIS aided communication, multi-modal learning for satellite-ground networks, and secure resource allocation in NOMA systems. He leads projects on edge intelligence, digital twins for URLLC, and generative AI for channel estimation. The CSR Group actively engages in industry partnerships to translate research into practical solutions.